Google Compute Engine Machine Type n4-highcpu-2

General-purpose Google Compute Engine machine type n4-highcpu-2 with 2 vCPU and 4 GB memory. Available in 38 Google Cloud regions.

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Google Cloud VM n4-highcpu-2

Technical facts about the Google Compute Engine machine type n4-highcpu-2.

Series N4
Family General-purpose
vCPU 2
Memory 4 GB
CPU Manufactur Intel
CPU Platform
  • Intel Emerald Rapids
CPU Base Frequency 2.1 GHz
CPU Turbo Frequency 2.9 GHz
CPU Max. Turbo Frequency 3.3 GHz
EEMBC CoreMark Benchmark (?) 44397
EEMBC CoreMark Standard Deviation 0.26 %
EEMBC CoreMark Sample Count 80
SAP Standard Benchmark (?) -
Network Bandwidth 10 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD ❌ Optional
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ❌
GCE API Description 2 vCPUs, 4 GB RAM

Costs (Pricing) for n4-highcpu-2

Cost and pricing across all regions for Google Cloud VM n4-highcpu-2.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.0765 0.0912 0.1225
Spot provisioning model (Spot VM) 0.018 0.0345 0.0957

Price per Month

Min. Avg. Max.
Price per month 55.87 66.61 89.4
Spot provisioning model (Spot VM) 13.17 25.19 69.84
1 year commitment (CUD) 35.2 41.96 56.32
3 year commitment (CUD) 25.14 30.06 40.23

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highcpu-2.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 67.16
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 21.02 21.02 21.02
SUSE Linux Enterprise Server for SAP 124.1 50.01 44.72
Red Hat Enterprise Linux for SAP 32.85 32.85 32.85

Price per Region

Costs and pricing for Google Compute Engine machine type n4-highcpu-2 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 38%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa 🍃 4 1 0.0765 0.0258 55.87 35.2 25.14
us-east1 South Carolina 3 1 0.0765 0.0258 55.87 35.2 25.14
us-east4 Northern Virginia 3 1 0.0765 0.0252 55.87 35.2 25.14
us-east5 Columbus 3 1 0.0765 0.0207 55.87 35.2 25.14
us-west1 Oregon 🍃 3 1 0.0765 0.0258 55.87 35.2 25.14
asia-south1 Mumbai 3 1 0.0796 0.0333 58.11 36.61 26.15
asia-south2 Delhi 3 1 0.0796 0.0244 58.11 36.61 26.15
europe-north2 Stockholm 3 1 0.0804 0.0336 58.67 36.96 27.36
europe-west4 Netherlands 🍃 3 1 0.0804 0.0238 58.67 36.96 27.36
northamerica-south1 Mexico 3 1 0.0834 0.0349 60.9 38.37 27.41
me-west1 Tel Aviv 2 1 0.0842 0.0342 61.46 38.72 27.66
europe-west1 Belgium 🍃 3 1 0.0843 0.018 61.52 38.76 27.69
northamerica-northeast2 Toronto 🍃 2 1 0.0843 0.0299 61.52 38.76 27.69
us-west4 Las Vegas 3 1 0.0862 0.036 62.93 39.65 28.32
europe-west2 London 🍃 3 1 0.0873 0.0243 63.7 40.13 28.66
asia-east1 Taiwan 3 1 0.0886 0.0315 64.7 40.76 29.11
europe-west8 Milan 3 1 0.0888 0.0315 64.81 40.83 29.17
europe-west9 Paris 🍃 2 1 0.0888 0.0293 64.81 40.83 29.17
europe-southwest1 Madrid 🍃 3 1 0.0903 0.035 65.93 41.54 29.67
europe-west3 Frankfurt 🍃 3 1 0.0903 0.0377 65.93 41.54 29.67
us-south1 Dallas 🍃 2 1 0.0903 0.0321 65.93 41.54 29.67
us-west2 Los Angeles 1 1 0.092 0.0384 67.17 42.31 30.23
us-west3 Salt Lake City 3 1 0.092 0.0327 67.17 42.31 30.23
europe-central2 Warsaw 2 1 0.0926 0.0412 67.61 42.59 30.42
me-central1 Doha 2 1 0.093 0.0341 67.89 42.77 30.81
asia-southeast1 Singapore 3 1 0.0944 0.0356 68.93 43.43 31.02
australia-southeast1 Sydney 2 1 0.0957 0.0957 69.84 44 32.57
asia-northeast1 Tokyo 3 1 0.0983 0.0377 71.75 45.2 32.29
asia-northeast2 Osaka 2 1 0.0983 0.0411 71.75 45.2 32.29
asia-northeast3 Seoul 3 1 0.0983 0.0411 71.75 45.2 32.29
australia-southeast2 Melbourne 3 1 0.0995 0.0353 72.64 45.76 32.69
africa-south1 Johannesburg 3 1 0.1001 0.0407 73.08 46.04 32.89
europe-west6 Zurich 🍃 2 1 0.1003 0.0334 73.2 46.11 32.94
asia-southeast2 Jakarta 3 1 0.1029 0.043 75.13 47.33 33.81
asia-east2 Hong Kong 2 1 0.1071 0.034 78.16 49.24 35.17
southamerica-west1 Santiago 🍃 3 1 0.1095 0.0389 79.9 50.34 35.96
southamerica-east1 São Paulo 🍃 3 1 0.1215 0.0432 88.72 55.9 39.93
me-central2 Dammam 2 1 0.1225 0.0324 89.4 56.32 40.23